Results 241 to 250 of about 356,828 (265)

Attitude feedback tracking with optimal attitude state estimation

Proceedings of the 2010 American Control Conference, 2010
This paper presents an estimator-based attitude tracking control scheme that uses feedback of attitude and angular velocity estimates constructed by an optimal state estimation scheme. The tracking control scheme gives almost global convergence to a desired attitude and angular velocity profile with perfect state feedback.
Nikolaj Nordkvist, Amit K Sanyal
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Nonstructural Risk Attitude Estimation

American Journal of Agricultural Economics, 1989
AbstractThis paper presents an econometric approach to risk attitude estimation that does not require joint estimation of the structure of the firm's technology and input decision rules. The nonstructural approach replaces optimal input choice with the assumption that farmers optimally manage their portfolios of productive activities.
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Minimum Model Error Approach for Attitude Estimation

Journal of Guidance, Control, and Dynamics, 1995
Summary: An optimal batch estimator and smoother based on the minimum model error (MME) approach is developed for a three-axis stabilized spacecraft. The formulation is shown using only attitude sensors, e.g., three-axis magnetometers, sun sensors, star trackers.
Crassidis, John L., Markley, F. Landis
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Deterministic EKF-like estimator for spacecraft attitude estimation

Proceedings of 1994 American Control Conference - ACC '94, 2005
A filter for estimating spacecraft attitude quaternion and gyro drift bias vector is developed. The point of view taken in this paper is deterministic in that the underlying system and the measurement process are assumed to be both deterministic, while the uncertainties considered are assumed to be unmeasurable deterministic functions of time.
F.L. Markley, N. Berman, U. Shaked
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SCKF for MAV attitude estimation

2011 International Conference on Machine Learning and Cybernetics, 2011
In this paper, a novel quaternion-based attitude estimation algorithm with the square-root cubature Kalman filter (SCKF) is proposed to improve the attitude estimation performance for micro air vehicle (MAV). The SCKF is a kind of new effective method to solve nonlinear state estimation, it can directly deal with nonlinear systems, and the QR ...
Chao Li, Quan-Bo Ge
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Attitude estimation using moment invariants

Pattern Recognition Letters, 1993
The problem of estimating the three-dimensional rotational parameters of a rigid body from its monocular image data has been considered using the method of moment invariants. Second- and third-order moment invariants are used to construct the feature vector for the scale and orientation independent identification of the camera view axis direction in ...
Mukundan, R, Malik, NK, Ramakrishnan, KR
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Attitude Estimation with Complementary Filter

Applied Mechanics and Materials, 2010
An attitude estimation method is presented for a robot using low-cost solid-state inertial sensors. The attitude estimates are obtained from a complementary filter by combining the measurements from the integration of a tri-axis gyro and an aiding system mechanized using a tri-axis accelerometer and a tri-axis magnetometer.
Rui Hua Chang, Xiao Dong Mu, Xiao Wei Shen   +2 more
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Attitude estimation with intermittent measurements

Automatica, 2019
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Berkane, Soulaimane, Tayebi, Abdelhamid
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Optimal estimation of ship's attitudes and attitude rates

IEEE Journal of Oceanic Engineering, 1979
Estimation of ship rotational motions induced by ocean waves plays a central role in many navigation and fire control applications. Inertial-type instruments are available which give good measurements of the attitude, but some form of signal processing is necessary to obtain angular rates or predict attitudes.
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Descriptor Approach for Attitude Estimation

2015 IEEE Conference on Control Applications (CCA), 2015
In this paper, a new modeling and filtering approachfor rigid body attitude estimation is investigated. Incontrast to the current state-of-the art where the process modelisdrivenbygyroscope measurements, weproposeanalternativemodeling formulation where the process model is fed by themagnetometer measurements. The resulting dynamic modeltakes the form of
Makni, Aida, Kibangou, Alain, Fourati, Hassen   +2 more
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